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In high-performance computing (HPC) environments, the need to balance memory efficiency and query performance is crucial for ensuring optimal system performance. Traditional data structures, such as B-trees and hash tables, often prioritize either memory usage or query speed, leading to suboptimal performance in memory-constrained systems. This paper proposes a hybrid data structure that combines the strengths of multiple traditional data structures to optimize both memory usage and query processing speed. The proposed hybrid structure integrates cache-conscious algorithms, dynamic memory allocation, and compression techniques for intermediate query results. The approach is evaluated through extensive benchmarking tests comparing it to standard data structures like B-trees and hash tables under various workloads. Results show that the hybrid data structure reduces memory overhead by up to 30% while maintaining query processing speeds up to 1.5 times faster than conventional methods. Furthermore, the hybrid structure demonstrates robust performance across different types of queries, including both point and range queries, ensuring versatility and efficiency. The findings indicate that this hybrid approach provides a promising solution for HPC systems, where both memory efficiency and query speed are essential. Future research can explore extending the hybrid structure to distributed systems and emerging technologies, further improving its scalability and adaptability to new computational paradigms.

This study examines the impact of IT-driven innovation management on IT service effectiveness and competitive value creation within smart organizations. As digital transformation accelerates across industries, organizations are increasingly leveraging advanced IT solutions to enhance service delivery, responsiveness, and customer satisfaction. While traditional IT service management (ITSM) models focus on efficiency and structured processes, the integration of innovation management introduces new opportunities to improve service quality and operational agility. Through a quantitative research design, this study employs regression modeling to assess the relationship between IT-driven innovation management and two key outcomes: IT service effectiveness and competitive value creation. Data were collected from 100 technology-intensive organizations that actively integrate innovation into their IT service management processes. The results demonstrate that IT-driven innovation significantly enhances service quality, customer satisfaction, and organizational competitiveness. Furthermore, a curvilinear relationship was identified, indicating that while moderate innovation leads to improved outcomes, excessive innovation may have diminishing returns. These findings highlight the importance of balancing innovation efforts with business goals to achieve optimal performance. The study also compares innovation-driven IT service management with traditional models, illustrating how innovation fosters agility, responsiveness, and long-term value creation. The implications for smart organizations are clear: integrating innovation into IT service management is essential for maintaining a competitive edge in the rapidly evolving digital landscape. Future research should explore the long-term impact of innovation management on organizational sustainability and growth, considering external factors such as market volatility and technological disruptions.

This study investigates the integration of computational thinking (CT) principles with adaptive curricula to enhance problem-solving skills in undergraduate programming education. Traditional programming curricula often emphasize syntax and basic concepts, neglecting critical problem-solving strategies. The adaptive curriculum framework used in this study combines CT skills such as decomposition, pattern recognition, abstraction, and algorithmic thinking with personalized learning experiences. A mixed-method approach, combining qualitative and quantitative research, was employed to assess the effectiveness of this integrated approach. The results show significant improvements in students' problem-solving abilities, conceptual understanding, and engagement compared to a control group following a traditional curriculum. Students in the experimental group, which received the adaptive curriculum, demonstrated better performance in applying algorithms and debugging code. Additionally, students expressed higher levels of engagement and motivation, suggesting that the personalized learning environment fostered greater academic involvement. The study highlights the importance of integrating CT principles with adaptive learning frameworks to create a more inclusive and effective learning environment that accommodates diverse learning needs. The findings suggest that adaptive curricula can bridge gaps in traditional education by providing personalized support and ensuring that students progress at their own pace. This approach is especially beneficial for programming education, where both conceptual understanding and practical problem-solving skills are critical for success. Future research should explore the long-term impact of adaptive learning frameworks and investigate how these technologies can be integrated with traditional teaching methods to maximize their effectiveness.

This research aims to develop a multiclass flower image classification system using the Convolutional Neural Network (CNN) algorithm with the EfficientNet architecture. The main problem addressed is the difficulty of manual identification of flower species that share high visual similarity. The research stages include collecting 17,299 flower images across 19 classes, performing data preprocessing such as image resizing, pixel normalization, and augmentation, followed by model training using the EfficientNet transfer learning approach. The model was trained for 10 epochs with an 80:20 training-validation data split. The evaluation results show that the model achieved a validation accuracy of 98.05% with a loss value of 0.0968, and an average precision, recall, and F1-score of 0.98. The trained model was then implemented into a web-based application built using the Next.js framework, enabling users to upload flower images and obtain real-time classification results via the Hugging Face API. The system successfully identified flower species with a confidence level of 99.87%. These findings demonstrate that combining a modern CNN architecture with transfer learning provides efficient and highly accurate flower classification performance, which can be effectively implemented for educational and digital conservation purposes.

The rapid development of globalization and the acceleration of digital transformation have encouraged organizations to adopt more adaptive and collaborative work practices. In this context, collaborative culture has become a strategic element that plays a crucial role in enhancing organizational effectiveness and competitiveness. This study aims to comprehensively examine the concept, characteristics, forming factors, and theoretical foundations of collaborative culture in modern organizations. The research employs a qualitative approach through a literature review, analyzing reputable national and international journal articles, textbooks, and relevant institutional reports. Data analysis is conducted using a descriptive-analytical technique by synthesizing findings from previous studies. The results indicate that collaborative culture significantly contributes to improved communication quality, work coordination, adaptability, and both individual and organizational performance. Collaborative culture is shaped through the integration of shared vision, open communication, trust, willingness to share resources, collaborative leadership, flexible organizational structures, and the support of collaborative technologies. This study also highlights that the success of digital transformation largely depends on the strength of an effectively internalized collaborative culture. The findings are expected to provide a theoretical reference for organizations and researchers in developing sustainable collaborative culture strategies.

The advancement of automotive technology has accelerated the adoption of renewable‑energy‑based electric vehicles, including the integration of solar panels on electric scooters. Indonesia’s tropical climate provides abundant solar energy potential; however, the limited surface area of scooters often restricts panel placement to the footrest section. This study aims to evaluate the impact of using a 10 mm clear acrylic cover on the performance of a 50 Wp monocrystalline solar panel in an electric scooter battery‑charging system. An experimental method was employed by comparing the panel’s performance under two conditions: without a cover and with the acrylic cover installed. Key parameters observed included voltage, current, and charging power, recorded using a data logger. Tests were conducted for 30 minutes under varying solar radiation intensities. The results indicate that the acrylic cover reduces the panel’s output power, from 55 W to 45 W at a solar radiation intensity of approximately 1100 W/m². These findings suggest that the use of an acrylic cover must be carefully considered to maintain optimal charging system performance.

This study aims to analyze the effect of Current Ratio (CR), Debt to Asset Ratio (DAR), and Inventory Turnover on Earning Per Share (EPS). This research employs a quantitative method with a causal-comparative ex-post facto approach. The population includes food and beverage companies listed on the Indonesia Stock Exchange (IDX) for the 2020-2023 period. The sampling technique used purposive sampling, resulting in 10 companies with a total of 40 observations. Data analysis was conducted using multiple linear regression utilizing SPSS version 25 software. The results indicate that partially, CR, DAR, and Inventory Turnover each have a significant effect on EPS. Simultaneously, these three independent variables significantly affect EPS with a determination coefficient of 83.7%. The implications of this study emphasize the importance of liquidity management, solvency, and inventory efficiency in improving corporate share profitability.

The policy of involving expatriates in the board of directors of State-Owned Enterprises (SOEs) has become a debated issue, particularly regarding its implications for corporate governance and national workforce interests. The main problem discussed in this article is how the policy of expatriate involvement in the board of directors of PT Garuda Indonesia is viewed from the perspective of Good Corporate Governance (GCG). This study aims to analyze the suitability of the policy with GCG principles and its implications for corporate governance and company performance. The research method used is a literature review by examining laws and regulations, academic journals, policy reports, and other relevant secondary sources. The analysis is conducted based on five main GCG principles, namely transparency, accountability, responsibility, independence, and fairness. The results show that the involvement of expatriates in the board of directors of PT Garuda Indonesia has the potential to strengthen corporate governance through the adoption of global managerial standards, improvement of institutional credibility, and acceleration of organizational transformation and efficiency. However, this policy also faces challenges, especially related to transparency in the selection process and the assurance of knowledge transfer to local human resources. It can be concluded that the expatriate involvement policy will provide optimal benefits if it is implemented consistently with GCG principles and accompanied by a strong commitment to strengthening local managerial capacity.

This study aims to develop an effective predictive model for identifying students at risk of academic dropout using the Decision Tree and Linear Regression algorithms. The data used are sourced from the public Kaggle dataset Students Dropout and Academic Success, which includes demographic, socioeconomic, and academic performance variables for each semester. The research method includes data preprocessing stages, such as data cleaning, label encoding for categorical variables, numeric feature normalization, and target class adjustment to focus on binary classification, namely Dropout and Graduate. The modeling process is carried out by comparing the performance of the two algorithms using evaluation metrics of accuracy, precision, and recall. The results show that the Decision Tree algorithm has superior performance compared to Linear Regression in mapping non-linear patterns in student data. Feature importance analysis revealed that the number of curricular units in the second semester and tuition payment status are the main predictors of dropout risk. These findings are expected to assist educational institutions in implementing early interventions to improve student academic success.  

In the context of both public organizations and Small and Medium Enterprises (SMEs), inefficient business processes remain a significant challenge. Fragmented information systems often hinder the optimization of these processes, leading to slower decision-making, redundant efforts, and increased operational costs. This study aims to analyze and optimize business processes by utilizing integrated information systems (IIS), providing a comparative analysis between the two sectors. The theoretical framework explores key theories such as Business Process Management (BPM) and the integration of information systems for process optimization. Previous studies highlight the differences in how IIS implementation impacts the public and SME sectors, noting challenges such as data silos, legacy systems, and resistance to change. A case study analysis methodology was employed to assess the effectiveness of IIS across both sectors. Business Process Modeling (BPMN) was used to visualize business processes before and after optimization, and process performance was measured through key metrics such as time reduction, error rates, and cost efficiency. The results show that IIS integration improved business process efficiency by an average of 28%, with reductions in redundancy and faster decision cycles observed in both sectors. Public organizations benefited from enhanced service delivery and better resource management, while SMEs gained competitive advantages through streamlined operations and increased responsiveness to market demands. The comparison reveals that integrated systems had a greater operational impact than traditional isolated process reengineering methods. Public organizations faced more regulatory and governance challenges, while SMEs leveraged their flexibility for faster integration. Recommendations for both sectors include focusing on overcoming barriers such as resistance to change and investing in system modernization. Future research should explore the long-term effects of IIS integration and further sector-specific comparisons.

With financial inclusion acting as a moderator, the goal of this study is to examine how financial technology use and financial literacy impact microbusiness performance. Microbusinesses in Bandar Lampung City's food and beverage industry serve as the research subjects. This study employs a quantitative approach, using questionnaires to collect primary data from microenterprises. Purposeful sampling was used to choose 203 microbusinesses that met the research criteria. SPSS was utilized to analyze the data using multiple linear regression and Moderated Regression Analysis (MRA). The study's conclusions imply that the use of financial technology has an effect on microenterprises' performance. Additionally, it has been shown that financial literacy affects microenterprise performance. The findings show that key components in increasing microbusiness performance are the use of financial technology and the entrepreneur's capacity to supervise and make financial decisions. However, the test results indicate that financial inclusion cannot boost the impact of financial technology and financial expertise on microbusiness performance. This implies that the influence of financial technology and financial knowledge on business success is not necessarily enhanced by having access to financial services. It also shows that a key factor in increasing the success of microbusinesses is the characteristics of the entrepreneur. The research's objectives are to assist important stakeholders in creating plans for microenterprise growth, as well as to assist microenterprise actors in improving their financial literacy and utilizing financial technology to its fullest.

Brebes Regency is one of the main national centers of shallot production in Indonesia, where agricultural land dynamics play a crucial role in sustaining production performance. Rapid infrastructure development and land-use change have raised concerns regarding the sustainability of shallot cultivation areas. This study aims to analyze spatial–temporal changes in shallot cultivated area and production in Brebes Regency during 2023–2024 and to examine the relationship between land area changes and production levels at the sub-district scale. A descriptive quantitative approach based on spatial analysis was employed using Geographic Information Systems (GIS). Spatial data consisted of administrative boundary maps, while non-spatial data included shallot cultivated area and production data obtained from the Brebes Regency Office of Agriculture and Food Security. Data integration and analysis were conducted using QGIS through attribute joining and inter-annual comparison. The results indicate that total shallot cultivated area increased from 26,331 ha in 2023 to 28,628 ha in 2024, accompanied by a significant rise in production from 289,942.05 tons to 409,106.90 tons. Spatial analysis reveals that major production centers remain concentrated in the central and northern sub-districts, particularly Wanasari, Larangan, Bulakamba, and Tanjung. Although a positive relationship between land expansion and production increase is evident, variations among sub-districts suggest that productivity and local conditions also play important roles. The findings highlight the effectiveness of GIS-based analysis in supporting spatially informed agricultural land management and policy formulation.

This study investigates the levels of asprosin and irisin in patients with type 2 diabetes mellitus (T2DM) and diabetic nephropathy (DN), and evaluates their relationships with insulin resistance, glycemic control, and renal function. Additionally, it explores their diagnostic performance as potential non-invasive biomarkers for the early detection of DN using ROC curve analysis. A controlled prospective study was conducted involving 130 participants, categorized into healthy controls, T2DM patients, and T2DM with DN. Serum asprosin, irisin, and insulin levels were measured using ELISA, while biochemical and renal parameters such as fasting blood glucose, HbA1c, creatinine, urea, and eGFR were assessed using standard spectrophotometric techniques. ROC analysis was employed to assess the diagnostic accuracy of asprosin and irisin. Asprosin levels were significantly elevated, while irisin levels were markedly reduced in DN patients compared to T2DM and control groups (p < 0.001). Moreover, DN patients exhibited higher levels of fasting glucose, HbA1c, HOMA-IR, creatinine, and urea, with lower eGFR, indicating substantial renal dysfunction. ROC analysis revealed that asprosin had an AUC of 0.910 (95% CI: 0.839–0.981), with 90.0% sensitivity and 88.9% specificity at a cutoff value of 11.27 ng/mL. Irisin showed an AUC of 0.886 (95% CI: 0.812–0.960), with 95.0% sensitivity and 71.1% specificity at a 158.25 ng/mL cutoff. Asprosin and irisin are strongly associated with insulin resistance and renal impairment in patients with T2DM and DN. Their high diagnostic performance supports their utility as promising non-invasive biomarkers for the early detection and monitoring of diabetic nephropathy progression.

The selection of this research topic is based on the important role of packing machines in the noodle production process. As consumer demand continues to increase and industrial competition becomes more intense, optimizing production efficiency is a critical requirement for manufacturing companies. This study focuses on the Tokiwa W500 Packing Machine used at PT. Indofood CBP Sukses Makmur, Noodle Division, Semarang. The research method involves a comprehensive review of the machine control system to evaluate its operational performance. Data collection was conducted through direct observation, structured interviews with machine operators, and relevant literature review. The review emphasizes system performance, operational efficiency, and the level of automation, while identifying potential areas for improvement. The results indicate that the Tokiwa W500 Packing Machine operates in a stable and consistent manner during the noodle packaging process. However, opportunities were identified to enhance the automation system in order to improve production efficiency and reduce the risk of human error. This study is expected to contribute to the development of more effective and optimized control systems for industrial packing machines.

Down Syndrome (DS) is a genetic disorder characterized by trisomy of chromosome 21 and is inherently associated with clinical manifestations such as hypotonia, joint laxity, and neuromuscular deficits, all of which collectively contribute to impaired postural control and balance. These balance impairments significantly affect the attainment of motor milestones, performance of daily activities, and increase the risk of falls. This study aims to analyze the effectiveness of core stability training in improving balance among children with DS. A narrative review approach was employed by conducting a literature search across electronic databases including PubMed, Scopus, Google Scholar, and ResearchGate. Inclusion criteria consisted of primary studies (RCTs, quasi-experimental designs) published within the last ten years (2015–2025) that examined core stability interventions targeting balance or postural control in children with DS. A review of 10 relevant studies demonstrated that core stability training, either as a standalone intervention or combined with other modalities (e.g., treadmill training or balance training), resulted in significant improvements in both static and dynamic balance. These improvements are facilitated through the strengthening of deep trunk muscles (such as the multifidus, transversus abdominis, and rectus abdominis), which play a crucial role in proximal stabilization and force transfer to the extremities. In conclusion, core stability training is an effective and recommended intervention modality within physiotherapy rehabilitation programs to enhance the quality of life and motor independence of children with Down Syndrome.  

Islamic educational institutions face various challenges in human resource management, such as internal conflicts, low work motivation, and suboptimal performance of educators. These issues impact the effectiveness of institutions in achieving educational goals. This article aims to analyze how the synergy between conflict management and work motivation can improve human resource performance in Islamic educational institutions based on Islamic values. The issues examined include how conflict management and motivation contribute to performance improvement, as well as how Islamic values can be used as a basis for their management. The method used is a literature study by reviewing various relevant literature from journals, books, and previous research results. The results of the study show that conflicts that are managed constructively and motivation that is built on the basis of Islamic spiritual values can create a productive and sustainable work culture. The synergistic integration of the two can encourage an improvement in work ethic, teamwork, and the quality of educational services. This article provides a theoretical contribution to the development of HR management strategies in Islamic educational institutions based on Sharia values.

This study examines the development of scientific publications on the topic of competency development and performance of the State Civil Apparatus (ASN) in Indonesia in the period 2014–2024 using a bibliometric analysis approach. The researcher uses data from scientific articles that have been published and meet the research criteria. Data was obtained from the Google Scholar database with the help of the Publish or Perish application, then analyzed and visualized using VOSviewer to identify publication patterns, research trends, and linkages between topics. From the entire series of article processing processes, 339 scientific publications were identified with a total of 3,460 citations. The results of the analysis show a significant increase in the number of publications, from one publication in 2014 to 103 publications in 2024. The keyword analysis grouped the articles into six main clusters, with the topic "ASN" as the most dominant theme discussed. These findings show increasing academic attention to the development of ASN competencies and performance as an important part of bureaucratic reform, increasing the professionalism of the apparatus, and efforts to improve the quality of public services in Indonesia.

This study aims to analyze the effect of transformational leadership (X1), work experience (X2), and social support (X3) on employee performance (Y) at PT Putra Sentosa Mandiri. This research also seeks to determine the partial effects of each independent variable as well as their simultaneous effect on employee performance. The research method used is a quantitative approach with primary and secondary data sources. The sampling technique applied was saturated sampling, in which the entire population was used as the sample, consisting of 34 employees of PT Putra Sentosa Mandiri. Data were collected through questionnaires, interviews, literature studies, and documentation. The data analysis techniques included validity tests, reliability tests, normality tests, linearity tests, heteroscedasticity tests, multicollinearity tests, multiple linear regression analysis, t-tests, F-tests, and the coefficient of determination (R²). The results indicate that transformational leadership has a positive but not significant effect on employee performance, work experience has no positive and insignificant effect on employee performance, while social support has a positive and significant effect on employee performance. Simultaneously, transformational leadership, work experience, and social support do not have a significant effect on employee performance at PT Putra Sentosa Mandiri.

This study aims to conduct a Systematic Literature Review (SLR) regarding the influence of career development on organizational commitment. Based on the analysis of various scientific articles, career development is an important approach in human resource management, which focuses on improving employees’ skills, enthusiasm, and readiness to face job challenges and promotion opportunities. On the other hand, organizational commitment refers to the emotional connection that employees have with their workplace, which includes aspects of emotional attachment, obligation, and enduring bonds. The results of the systematic literature review indicate that many previous studies have found a strong and positive correlation between career development and organizational commitment. Workers who are aware of support for their career development, including training programs, mentoring, or predetermined career paths, generally show a higher level of dedication to their organization. Furthermore, various studies have shown that career development can also have an indirect effect on organizational commitment through mediating factors such as job satisfaction, work motivation, and employee performance. However, several studies have shown that career development does not always have a significant impact on organizational commitment, particularly in organizations without a structured career system or when employees have negative perceptions of career opportunities. These varying results highlight the existence of contextual factors that influence the relationship between variables. Overall, this study offers in-depth insights into the significance of career development as a strategic factor in enhancing organizational commitment, along with suggestions for organizations and future researchers conducting similar studies.

This study compares Grammarly and Paraphraser.io in supporting students’ academic writing and rewriting skills based on Flower and Hayes’s (1981) cognitive process theory, which includes the stages of planning, translating, and reviewing. Using a descriptive qualitative method supported by quantitative data, the research involved 32 English Education students who had used both tools in academic writing. Data were collected through questionnaires and analyzed descriptively to identify students’ perceptions of grammatical accuracy, rewriting ability, feedback quality, and overall writing improvement. The results of this study indicate that 54.4% of students use Grammarly and 45.6% use Paraphraser.io, showing that Grammarly is the slightly more dominant and trusted tool for improving grammatical accuracy and clarity, while Paraphraser.io functions as a complementary platform for paraphrasing and generating new sentence structures; together, both tools contribute effectively though through distinct roles to enhancing students’ academic writing performance. The comparative analysis revealed that Grammarly was most effective in enhancing analytical skills during the planning and reviewing stages, improving grammar, coherence, and clarity. In contrast, Paraphraser.io was most beneficial for generative skills in the translating stage, directly enhancing originality and sentence variation. Most respondents rated their writing improvement highly, confirming the positive impact of both tools on academic performance. In conclusion, the findings confirm that Grammarly and Paraphraser.io serve distinct, yet complementary roles: the former ensures linguistic precision, while the latter supports structural creativity, ultimately helping students produce highly accurate and original academic texts.